Gang Wu

6.4k total citations
141 papers, 4.6k citations indexed

About

Gang Wu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Gang Wu has authored 141 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Molecular Biology, 39 papers in Cancer Research and 36 papers in Oncology. Recurrent topics in Gang Wu's work include Ubiquitin and proteasome pathways (16 papers), Angiogenesis and VEGF in Cancer (16 papers) and MicroRNA in disease regulation (15 papers). Gang Wu is often cited by papers focused on Ubiquitin and proteasome pathways (16 papers), Angiogenesis and VEGF in Cancer (16 papers) and MicroRNA in disease regulation (15 papers). Gang Wu collaborates with scholars based in China, United States and Australia. Gang Wu's co-authors include Hollis T. Cline, Roberto Malinow, Kunyu Yang, Xiaorong Dong, Indrani Rajan, Ruiguang Zhang, Rui Zhou, Shuangbing Xu, Honglin Jin and Jonathan F. Lovell and has published in prestigious journals such as Science, Nature Communications and Journal of Neuroscience.

In The Last Decade

Gang Wu

140 papers receiving 4.6k citations

Peers

Gang Wu
Comparison fields: 5 of 134
  • Molecular Biology 2.8k
  • Cancer Research 1.2k
  • Oncology 937
  • Cellular and Molecular Neuroscience 815
  • Pulmonary and Respiratory Medicine 608
Replace Seyed Javad Mowla with:
Seyed Javad Mowla Iran
Ying Xiong China
Kyeung Min Joo South Korea
Qin Shen China
Ji‐Ying Song Netherlands
Renée M. McKay United States
Li Cai United States
Christoph P. Beier Denmark
Cindy K. Miranti United States
Seyed Javad Mowla Iran View profile →
Citations per field, relative to Gang Wu
Gang Wu · 1×
Citations per year, relative to Gang Wu
Gang Wu · 1×

Countries citing papers authored by Gang Wu

Since Specialization
Citations

This map shows the geographic impact of Gang Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang Wu more than expected).

Fields of papers citing papers by Gang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gang Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gang Wu. The network helps show where Gang Wu may publish in the future.

Co-authorship network of co-authors of Gang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Wu. A scholar is included among the top collaborators of Gang Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gang Wu. Gang Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 10
3 13
4 11
5 10
6 23
7 17
8 10
9 81
10 189
11 18
12 72
13 178
14 1
15 117
16 23
17 41
18 44
19 11
20
Effect of Mongolia drug TGLG-1 on serum lipids in hyperlipidemic rats
1

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026